I could easily see this objectively measuring the stroke disabled arm so protocols could be mapped fixing specific disabilities.
Actigraph assessment for measuring upper limb activity in unilateral cerebral palsy
- Elena Beani,
- Martina Maselli,
- Elisa Sicola,
- Silvia Perazza,
- Francesca Cecchi,
- Paolo Dario,
- Irene Braito,
- Roslyn Boyd,
- Giovanni Cioni and
- Giuseppina SgandurraEmail authorView ORCID ID profile
Journal of NeuroEngineering and Rehabilitation201916:30
© The Author(s). 2019
- Received: 13 September 2018
- Accepted: 11 February 2019
- Published: 22 February 2019
Abstract
Background
Detecting differences in upper
limb use in children with unilateral cerebral palsy (UCP) is
challenging and highly dependent on examiner experience. The recent
introduction of technologies in the clinical environment, and in
particular the use of wearable sensors, can provide quantitative
measurement to overcome this issue.
This study aims to evaluate
ActiGraph GT3X+ as a tool for measuring asymmetry in the use of the two
upper limbs (ULs) during the assessment with a standardized clinical
tool, the Assisting Hand Assessment (AHA) in UCP patients aged
3–25 years compared to age-matched typically developing (TD) subjects.
Methods
Fifty children with UCP and 50
TD subjects were assessed with AHA while wearing ActiGraphs GT3X+ on
both wrists. The mean activity of each hand (dominant and non-dominant,
MADH and MANDH, respectively) and the asymmetry
index (AI) were calculated. Two linear mixed model analyses were carried
out to evaluate how dependent actigraphic variables (i.e. MANDH
and AI) varied by group (TD vs UCP) and among levels of manual ability
based on Manual Ability Classification System (MACS). In both models
age, sex, side of hemiplegia, presence/absence of mirror movements were
specified as random effects.
Results
The MANDH was
significantly lower in UCP compared to TD, while the AI was
significantly higher in UCP compared to TD. Moreover, in UCP group there
were significant differences related to MACS levels, both for MANDH and AI.
None of the random variables (i.e. age, sex, side, presence/absence of mirror movements) showed significant interaction with MANDH and AI.
Conclusions
These results confirm that
actigraphy could provide, in a standardized setting, a quantitative
description of differences between upper limbs activity.
Trial registration
ClincalTrials.gov, NCT03054441. Registered 15 February 2017.
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